“Don’t waste your time on AI for AI’s sake. Be motivated by what it will do for you, not by how sci-fi it sounds.“
Unknown
“What’s the difference between artificial intelligence, versus deep learning?”
‘How will data science help me bring my company to the next level? Can data really help me?”
At Clover, allow us to break down these ‘big-tech-words’ into understandable smaller chunks that you can relate to a specific business purpose.
Our team consists of both from business and technology background, thus the perfect mixture to ensure nothing gets ‘lost-in-translation’ between business-language and technology-talk.
By “learning” a pattern for better prediction results, the possibilities on what we can do in this space is literally endless. To put into context, these are some of the related areas, but not exhaustive:
- data cleansing and wrangling (most time and effort is spent here, approximately 80%)
- data analysis (this is where the picture starts to get clearer)
- data modelling (most exciting bit where the “magic” happens, i.e. machine learning modelling)
- data visualization (the story-telling part – very important )
Artificial intelligence and data comes hand in hand.It is used in a lot instances. The more popular examples include:
- speech recognition such as Alexa or Apple’s Siri,
- fraud detection that is used quite widely especially in the financial services industry
- prediction analysis for business outcomes
- image recognition to manage forest and bush fires
We have recently completed a project for a property-tech company in this space. Do contact us for more information on what we did for them.